Nyla Technology Solutions · 4 hours ago
Data Scientist Level III
Annapolis Junction, MD
Full-time
Onsite
Senior Level, Lead/Staff
$149K/yr - $176K/yr
10+ years expNyla Technology Solutions is a provider of Artificial Intelligence, Data Science, and Software Engineering services for the U.S. Government. They are seeking a Data Scientist Level III who will devise strategies for extracting meaning from large datasets and communicate conclusions effectively, while also developing and implementing qualitative and quantitative methods for data assessment.
Cloud Data ServicesCyber SecurityInformation TechnologyNetwork SecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Employ some combination (2 or more) of the following skill areas: Foundations (Mathematical, Computational, Statistical), Data Processing (Data management and curation, data description and visualization, workflow and reproducibility), Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
Devise strategies for extracting meaning and value from large datasets
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure
Translate practical mission needs and analytic questions related to large datasets into technical requirements and assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting collection, processing, storage and analytic capabilities and limitations
Qualification
Required
A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
Note: A broader range of degrees will be considered if accompanies by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g., numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred
Python experience required
Preferred
AI/ML experience combined with CNE familiarity
CNO tool and capabilities experience strongly preferred
Assess LLMs to determine effectiveness and applicability for CNE capability integration and/or utilization
Math and statistics background
Will perform data normalization and visualization
Benefits
4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company.
You can BUY additional annual leave for a total of 6 weeks of annual leave.
Nyla’s health care (medical, dental, and vision) is 100% covered by the company.
10% 401k matching - with full vesting day 1!
$5,000 per year to be used towards fees, tuition, or time off for your continued growth.
Student loan repayment program
8 hours of volunteering annually
Company
Nyla Technology Solutions
Nyla Technology Solutions is a software company that focuses on software engineering, data science, and cybersecurity.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Shana Cosgrove
CEO
Recent News
Maryland Daily Record
2025-03-21
Company data provided by crunchbase